大数据下瓦斯与煤自燃共生灾害智能预警系统:数据特征、应用架构、关键技术*

doi:10.16265/j.cnki.issn1003-3033.2021.09.009

中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (9): 60-66.doi: 10.16265/j.cnki.issn1003-3033.2021.09.009

大数据下瓦斯与煤自燃共生灾害智能预警系统:数据特征、应用架构、关键技术^*

张巨峰^1,2 副教授, 施式亮^**1 教授, 鲁义¹ 教授, 游波¹ 副教授, 吴芳华¹, 吴宽¹

1 湖南科技大学资源环境与安全工程学院,湖南湘潭 411201;
2 陇东学院能源工程学院,甘肃庆阳 745000

收稿日期:2021-06-11 修回日期:2021-08-05 出版日期:2021-09-28 发布日期:2022-03-28
通讯作者: ** 施式亮(1962—),男,浙江天台人,博士,教授,博士生导师,主要从事煤矿灾害预防与控制、系统安全评价与预测、安全系统工程等方面的研究。E-mail: hnustssl@qq.com。
作者简介:张巨峰 (1983—),男,山西应县人,博士研究生,副教授,研究方向为煤矿灾害预防与控制。E-mail: jufeng6100229@126.com。
基金资助:
国家自然科学基金资助(51774135,51974120,51974119);甘肃省青年科技计划项目(18JR3RM240);甘肃省高等学校创新基金资助(2021B-278)。

Intelligent early warning system of gas and coal spontaneous combustion disaster based on big data: data characteristics, application structure and key technologies

ZHANG Jufeng^1,2, SHI Shiliang¹, LU Yi¹, YOU Bo¹, WU Fanghua¹, WU Kuan¹

1 School of Resource & Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan Hunan 411201, China;
2 School of Energy Engineering, Longdong University, Qingyang Gansu 745000, China

Received:2021-06-11 Revised:2021-08-05 Online:2021-09-28 Published:2022-03-28

摘要/Abstract

摘要： 为解决共生灾害预警过程中多源、海量、动态复杂的信息处理难题,应用大数据驱动技术,分析瓦斯与煤自燃共生灾害的大数据智能化预警系统的数据特征、应用架构和关键技术,搭建大数据驱动的共生灾害智能化预警系统应用架构,探讨共生灾害智能化预警的关键在于大数据获取、集成、分析应用和预警等技术。研究结果表明:大数据驱动技术在矿井瓦斯与煤自燃共生灾害智能化预警方面具有强大的洞察力、决策力和流程优化能力,可以及时、高效处理共生灾害的海量监测数据,提取有价值的知识,实现共生灾害大数据智能化预警系统应用架构的搭建。

关键词: 大数据, 瓦斯, 煤自燃, 共生灾害, 智能化预警

Abstract: In order to solve problem of multi-source, massive, dynamic and complex information processing in the process of symbiotic disaster early warning, data characteristics, application architecture and key technologies of big data intelligent early warning system of gas and coal spontaneous combustion were analyzed by applying big data driven technology, application architecture of big data driven symbiotic disaster early warning system was built, and key of symbiotic disaster intelligent early warning lies in big data acquisition, integration, analysis application and early warning technology was discussed. The research results show that big data driven technology has strong insight, decision-making power and process optimization ability in the intelligent early warning of mine gas and coal spontaneous combustion symbiosis disaster, which can process massive monitoring data of symbiotic disaster timely and efficiently, extract valuable knowledge, and realize the construction of application architecture of symbiotic disaster big data intelligent early warning system.

Key words: big data, gas, coal spontaneous combustion, symbiotic disaster, intelligent early warning

中图分类号:

X924.3

张巨峰, 施式亮, 鲁义, 游波, 吴芳华, 吴宽. 大数据下瓦斯与煤自燃共生灾害智能预警系统:数据特征、应用架构、关键技术^*[J]. 中国安全科学学报, 2021, 31(9): 60-66.

ZHANG Jufeng, SHI Shiliang, LU Yi, YOU Bo, WU Fanghua, WU Kuan. Intelligent early warning system of gas and coal spontaneous combustion disaster based on big data: data characteristics, application structure and key technologies[J]. China Safety Science Journal, 2021, 31(9): 60-66.

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大数据下瓦斯与煤自燃共生灾害智能预警系统:数据特征、应用架构、关键技术^*

Intelligent early warning system of gas and coal spontaneous combustion disaster based on big data: data characteristics, application structure and key technologies

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